Intelligent Data Analysis, Volume 9

Volume 9, Number 1, 2005

• Taghi M. Khoshgoftaar, Shi Zhong, Vedang H. Joshi:
  Enhancing software quality estimation using ensemble-classifier based noise filtering. 3-27
  
• Christos Berberidis, Ioannis P. Vlahavas:
  Mining for weak periodic signals in time series databases. 29-42
  
• Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang:
  Analysis and summarization of correlations in data cubes and its application in microarray data analysis. 43-57
  
• Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome:
  Constraint-based concept mining and its application to microarray data analysis. 59-82
  
• Ferenc Bodon, Ioannis N. Kouris, Christos Makris, Athanasios K. Tsakalidis:
  Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets. 83-104
  
• Mathias Rossignol, Pascale Sébillot:
  Combining statistical data analysis techniques to extract topical keyword classes from corpora. 105-127
  

Volume 9, Number 2, 2005

• Lior Rokach, Oded Maimon:
  Feature set decomposition for decision trees. 131-158
  
• Martin Znidarsic, Marko Bohanec:
  Data-based revision of probability distributions in qualitative multi-attribute decision models. 159-174
  
• Marc Boullé:
  Optimal bin number for equal frequency discretizations in supervized learning. 175-188
  
• Clifford S. Thomas, Catherine A. Howie, Leslie S. Smith:
  A New Singly Connected Network Classifier based on Mutual Information. 189-205
  
• Shitong Wang, Korris Fu-Lai Chung, Hong-bin Shen:
  Fuzzy taxonomy, quantitative database and mining generalized association rules. 207-217
  
• Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Tieju Ma:
  Mining scientific literature to predict new relationships. 219-234
  

Volume 9, Number 3, 2005

• Wei-Chou Chen, Ming-Chun Yang, Shian-Shyong Tseng:
  A novel feature selection method for large-scale data sets. 237-251
  
• Yu He, Lihui Chen:
  A threshold criterion, auto-detection and its use in MST-based clustering. 253-271
  
• Antonin Rozsypal, Miroslav Kubat:
  Association mining in time-varying domains. 273-288
  
• Graeme Richards, Victor J. Rayward-Smith:
  The discovery of association rules from tabular databases comprising nominal and ordinal attributes. 289-307
  
• Taghi M. Khoshgoftaar, Kehan Gao, Nawal H. Ibrahim:
  Evaluating indirect and direct classification techniques for network intrusion detection. 309-326
  

Volume 9, Number 4, 2005

• Saeed Hashemi:
  A linear wrapper for sample subset selection in atypical detection. 329-345
  
• Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao:
  Detecting noisy instances with the rule-based classification model. 347-364
  
• Jae-Moon Lee, Rafael A. Calvo:
  Scalable document classification. 365-380
  
• Tobias Scheffer:
  Finding association rules that trade support optimally against confidence. 381-395
  
• James Geller, Xuan Zhou, Kalpana Prathipati, Sripriya Kanigiluppai, Xiaoming Chen:
  Raising data for improved support in rule mining: How to raise and how far to raise. 397-415
  

Volume 9, Number 5, 2005

• Hong-bin Shen, Jie Yang, Ningjiang Chen, Yifei Dong, Shitong Wang:
  Performing clustering analysis on collaborative models. 419-438
  
• P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
  Dynamic Association Rule Mining using Genetic Algorithms. 439-453
  
• Arup Kumar Nandi, Frank Klawonn:
  Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method. 455-472
  
• Malik Agyemang, Ken Barker, Reda Alhajj:
  Web outlier mining: Discovering outliers from web datasets. 473-486
  
• Taghi M. Khoshgoftaar, Pierre Rebours:
  Evaluating noise elimination techniques for software quality estimation. 487-508
  

Volume 9, Number 6, 2005

• Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas:
  Selective fusion of heterogeneous classifiers. 511-525
  
• Stergios Papadimitriou, Constantinos Terzidis:
  Efficient and interpretable fuzzy classifiers from data with support vector learning. 527-550
  
• Tianming Hu, Sam Yuan Sung:
  Consensus clustering. 551-565
  
• Jinyan Li, Limsoon Wong:
  Structural geography of the space of emerging patterns. 567-588
  
• Taghi M. Khoshgoftaar, Jason Van Hulse:
  Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. 589-602
  
• Chenyong Hu, Benyu Zhang, Yongji Wang, Shuicheng Yan, Zheng Chen, Qing Wang, Qiang Yang:
  Learning quantifiable associations via principal sparse non-negative matrix factorization. 603-620